Accelerate your AI Financial Modelling with IPU
In the finance sector, the potential for innovation with advanced machine intelligence is significant. But often, new and complex models are not being fully leveraged due to latency issues and compute restraints. Enter the IPU – a completely new processing architecture designed for machine intelligence, capable of running advanced financial models up to 26x faster. Helen Byrne from Graphcore explains how the IPU’s unique architecture can power such incredible breakthroughs – and what this means for the future of finance and trading.
Key Takeaways: • Innovation in financial modelling is possible with AI • We need a new processor (the IPU) to do this • We can achieve 26X speedup on real models.
Helen joined Graphcore in July 2018 as an AI Research Engineer focussed on distributed learning in large-scale machines, before moving to her current role working on customer applications on Graphcore IPUs. She has a BSc in Mathematics and a Master’s degree in Artificial Intelligence. Before joining Graphcore, she was a Maths teacher and worked at an Investment Banking FinTech.